ml_virtual_agent_nlu

Analyse Virtual Agent NLU performance — conversation completion rates and fallback metrics

SERVERServiceNow-MCP SOURCEtedorigawa001/servicenow-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/tedorigawa001-servicenow-mcp/ml-virtual-agent-nlu.md

WHAT IT DOES

What ml_virtual_agent_nlu does on ServiceNow-MCP

AI agents call ml_virtual_agent_nlu to retrieve information from ServiceNow-MCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why ml_virtual_agent_nlu is rated Low

This tool retrieves and analyzes performance metrics from the Virtual Agent NLU system. It is a read-only operation that queries existing data (completion rates, fallback metrics) for analysis purposes. There are no side effects, no data modifications, no code execution, no deletions, and no financial implications.

From the tool's definition The tool description states it 'Analyse Virtual Agent NLU performance — conversation completion rates and fallback metrics', indicating retrieval and analysis of performance data without modifying or executing actions.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs ml_virtual_agent_nlu safely

PolicyLayer is an MCP gateway: it sits between your AI agents and ServiceNow-MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ml_virtual_agent_nlu, this is the rule to start with:

ml_virtual_agent_nlu Allowed

ml_virtual_agent_nlu is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "ml_virtual_agent_nlu": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect ServiceNow-MCP, apply this rule, and every ml_virtual_agent_nlu call is checked against it from then on.

FAQ

Questions about ml_virtual_agent_nlu

What does the ml_virtual_agent_nlu tool do? +

Analyse Virtual Agent NLU performance — conversation completion rates and fallback metrics. It is categorised as a Read tool in the ServiceNow-MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on ml_virtual_agent_nlu? +

Register the ServiceNow MCP server in PolicyLayer and add a rule for ml_virtual_agent_nlu: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches ServiceNow-MCP. Nothing to install.

What risk level is ml_virtual_agent_nlu? +

ml_virtual_agent_nlu is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit ml_virtual_agent_nlu? +

Yes. Add a rate_limit block to the ml_virtual_agent_nlu rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block ml_virtual_agent_nlu completely? +

Set action: deny in the PolicyLayer policy for ml_virtual_agent_nlu. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides ml_virtual_agent_nlu? +

ml_virtual_agent_nlu is provided by the ServiceNow MCP server (tedorigawa001/servicenow-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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